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Remote Data Science Jobs in Hagerstown, MD (NOW HIRING)

Schurz Communications, Inc.

BSS Systems Engineer

Hagerstown, MD · Remote

$85K - $115K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

... data in twice or chasing down why an account didn't activate. Your job is to design, connect, and ... BSS Systems Engineer Location: Remote Rate: $85,000-$115,000 annually Full-Time/Part Time ...

Lonza

Director, Automation

Walkersville, MD · On-site +1

$203K - $237K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is currently remote. A future transition to an on-site location on the U.S. East ... Ensure automation systems meet regulatory, GMP, data integrity, cybersecurity, and lifecycle ...

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$68.50 - $88.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$102K - $208K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Facilitate alignment across application, data, integration, infrastructure, cloud, and security ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Huntington

Application Architect (IT)

Hagerstown, MD · On-site +1

$70K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The role also ensures strong data governance, system performance, and alignment with downstream ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Huntington

Application Architect (IT)

Hagerstown, MD · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

The role also ensures strong data governance, system performance, and alignment with downstream ... Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ...

Huntington

MLOps Automation Senior Lead Engineer

Hagerstown, MD · On-site +1

$93K - $189K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Bachelor's Degree (Computer Science, Business Administration, Economics or related fields) or ...

Huntington

MLOps Automation Senior Lead Engineer

Hagerstown, MD · On-site +1

$103K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Bachelor's Degree (Computer Science, Business Administration, Economics or related fields) or ...

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Remote Data Science information

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Hagerstown, MD?

The most popular types of Data Science jobs in Hagerstown, MD are:

What job categories do people searching Remote Data Science jobs in Hagerstown, MD look for?

The top searched job categories for Remote Data Science jobs in Hagerstown, MD are:

What cities near Hagerstown, MD are hiring for Remote Data Science jobs?

Cities near Hagerstown, MD with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Hagerstown, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD • Remote

$95K - $120K/yr

Full-time

Re-posted yesterday

Job description

MTC is based in Frederick, Maryland and provides systems integration services to the U.S. Federal Government by implementing both Cloud based ServiceNow platform as a service (PaaS) software and application plugin software, Nuvolo, for Integrated Workplace Management System (IWMS) functionality. The IWMS solution will meet the current and future needs of the Public Sector/federal agencies by providing critical administrative digitized workflow activities for Facilities Asset Management, Space Management, Capital Project Management, and other related workplace management business processes.  The Legacy Data Migration Analyst position detail is below. 
 
If You are interested and You qualify, please reply with all:   
1) updated Resume   2) W2 Salary Range  3) Availability day/times to interview  4) Best Contact phone#
 
Position: Data Migration Analyst Duties:
 
Duration:  2 – 7 years based upon renewal
 
Location:           Primarily a remote position with periodic quarterly onsite meetings in Frederick, MD and Bethesda, MD
 
Start:                    Immediate
 
 
Job Description: 
Perform Data analysis, data validation, and data migration and data integration analysis efforts with a focus on analyzing, verifying, and validating the requirements for moving data received from current Legacy NIH Systems data owner and performing Data Validation before data is loaded to the Service Now-Nuvolo application instance. Also, supporting the data analysis of data interface requirements for ongoing integration. 
 
Data will be provided by legacy system data owners and Data Analyst will support requirements elicitation, data mapping workshops, Agile Development Increments/Sprints and Demos, User Acceptance Testing, Training, and Production Deployments. Create / Update Data models and datasets based upon the ServiceNow-Nuvolo application design requirements.
 
Perform data management using manual and automated methods using Microsoft Excel for pre-import data tasks (data migrations, minor cleansing, and transformation) prior to loading into target ServiceNow-Nuvolo system. The Legacy System Data Owner is responsible for data cleaning including data formatting, normalization, duplicate removal, etc. 
 
Data Analyst provides data validation and minor corrections, and generates queries, reports, risk analysis, and other random tasks to support the project team. Must create Agile user stories describing requirements for data migration from legacy system